Structural health monitoring (SHM) system has been operating for a long time in harsh environment, resulting various abnormalities the collected structural vibration data. Detecting these abnormal data not only requires user interaction but also is quite time-consuming. Inspired by manual recognition process, anomaly detection method based on combined model of convolutional neural network (CNN)...

Content based image retrieval (CBIR) system is broadly used for searching and browsing images from a large database by extracting the visual content of the images. Image database is build by feature vectors corresponding to texture, color, shape and spatial features. The MPEG-7 standards provide standardized tools to describe and search audio and video contents. In this paper we apply the edge ...

We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for reducing the dimensionality of the initial feature space, selecting the most discriminative features. The method employs the statistical techniques of Bootstrapping simulation, Bayesian Inference and Markov Chain Mon...

Sparse coding theory demonstrates that the neurons in primary visual cortex form a sparse representation of natural scenes in the viewpoint of statistics. In this paper, we propose a novel sparse coding model based on structural similarity for natural image patch feature extraction. The advantage for our model is to be able to preserve structural information from a scene, which human visual per...

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